A fuzzy tree-based framework for vegetation state monitoring DOI

Carmen Fucile,

Danilo Cavaliere, Sabrina Senatore

и другие.

2021 IEEE Symposium Series on Computational Intelligence (SSCI), Год журнала: 2022, Номер unknown

Опубликована: Дек. 4, 2022

The climate change emergency strongly affects vegetation growth in terrestrial ecosystems: large scale vegetation-climate interactions reveal an increased frequency of extreme weather and events, with significant impacts on ecosystems at different spatiotemporal scales. Vegetation monitoring is a critical element to assess the changes treats environment also aimed sustainable conservation wildlife. A framework proposed aggregate indices described by fuzzy sets health. Several rules have been defined grouped feature estimation (cover, vigor, water stress, etc.) then triggered according decision tree schema obtain robust interpretation status. control flow activation driven optimized agent-based modeling. Case studies highlight applicability framework.

Язык: Английский

Simulation of Flood Hazard Risk for Naban Reservoir Safety Management: A Comprehensive Assessment DOI Creative Commons
Cheng Zhong,

Rongcai Liang,

Wenle Qin

и другие.

Acadlore Transactions on Geosciences, Год журнала: 2023, Номер 2(3), С. 132 - 144

Опубликована: Авг. 2, 2023

Safety of reservoir dams remains pivotal for societal stability, underscoring the significance efficient emergency management strategies. This investigation focuses on Naban Reservoir, where BREACH model was employed to simulate potential dam failures. By integrating one-dimensional and two-dimensional modeling approaches, a mathematical representation developed scrutinize flood progression in adjacent region. Correlation coefficients devised ranged from 0.945 0.986, with relative errors -13.72%, -0.23%, -17.41%, -15.44%. Comparisons indicated that observed flow rates align closely simulated rates. Notably, significant land slippages surrounding were not detected, implying an enhanced downstream surge due upstream collapse is unlikely. Nevertheless, breach main could result catastrophic outcomes zones, particularly affecting infrastructure communities along Shangsi Zaimiao Basins. Critical observation such as Siyang Town Shangshi County, Nakan Ningming identified, emphasizing need precautionary measures safeguard human lives, property, stability. research has paved way novel early warning system tailored ensuring timely predictions alerts. Such advancements augment disaster prevention capacity, offering valuable insights mitigating risks small medium-sized reservoirs.

Язык: Английский

Процитировано

0

A fuzzy tree-based framework for vegetation state monitoring DOI

Carmen Fucile,

Danilo Cavaliere, Sabrina Senatore

и другие.

2021 IEEE Symposium Series on Computational Intelligence (SSCI), Год журнала: 2022, Номер unknown

Опубликована: Дек. 4, 2022

The climate change emergency strongly affects vegetation growth in terrestrial ecosystems: large scale vegetation-climate interactions reveal an increased frequency of extreme weather and events, with significant impacts on ecosystems at different spatiotemporal scales. Vegetation monitoring is a critical element to assess the changes treats environment also aimed sustainable conservation wildlife. A framework proposed aggregate indices described by fuzzy sets health. Several rules have been defined grouped feature estimation (cover, vigor, water stress, etc.) then triggered according decision tree schema obtain robust interpretation status. control flow activation driven optimized agent-based modeling. Case studies highlight applicability framework.

Язык: Английский

Процитировано

0